Ah, OK, good.
Back now actually starting up a completely new section, so this section is going to be about what a
model is, why we model and also specifically the modeling language that we're going to use when we're
doing conceptual maps and conceptual models.
And that language is used is called UML, the unified modeling language.
So this first lecture is going to be what a model is about.
So let's start what is a mother really so emotional so we can do models of all kinds of things so we
can hear?
Here's an example, for example, of a model or an aircraft, of course.
But really, why do we model at all?
And there are a couple there's a couple of different reasons for why we are actually creating models.
So let's look into four of them and probably the most common ones.
So when we're talking about models, it's very important to differentiate between the subject matter
that is being modeled and the model.
Right.
So we do model because we want like to make complex subject matters more comprehensible and possible
to grasp on a higher level.
So this is an example of a subject.
We have this thunderstorm, a thunderstorm, a hurricane.
So that's the subject that's out here in the real world.
And then we have a model of it.
So we create the model because we need to be able to reason about this and comprehend it and understand
it on a higher level, on a higher level.
So we need to remove some details and we create a model and then we can use that model to similar situations.
Right.
Because the other reason we use a model is just that.
So the first reason was just to be able to even understand very complex subject matters.
And here we have another subject, which is kind of a business situation maybe.
And we need to be able to simulate real world scenarios to get an approximation of how the subject may
react and work.
So once we have created a model, then because we cannot actually stimulate the real world subject,
we can actually stimulate the model and see what happens so we can use it to try to predict the future,
so to speak.
So we create models to understand complex things.
And then once we have a model, we can use to model and try to simulate scenarios in it.
So here's kind of the model.
And he was to come up with real world stagnation of sales.
Right?
A third thing we do with models is to try to specify, not just build tangible subjects so we could
have subjects that we would like to build.
So this is an example of a subject and we need to specify that in some way.
And then we use a model.
Right.
So we use a model to specify the subject.
And lastly, we also need to specify, not yet develop intangible subject as well.
So like business systems or businesses or products, which is intangible.
So then we have like a subject and we could have a model of an organization, for example.
So those were kind of for very different reasons for using a model and situations when we use a model.
The first one was to be able to understand and grasp very complex subject matters.
The second one was to use the model to try to simulated, to do simulations in and to try to predict
the future.
And the third in the four was actually to specify not just, Bill, both physical things and also intangible
things like businesses, products, I.T. systems and so on.
Very good.
That will see first lecture about why we actually model what are the reasons that we do actually create
models for.
Very good to see you in the next lecture.